
Quantum sensors for next-gen brain-computer interfaces
Recently, Professor Surjo R. Soekadar outlined current and upcoming applications of brain-computer interfaces.
Recently, Professor Surjo R. Soekadar outlined current and upcoming applications of brain-computer interfaces.
Researchers have shown that machine learning techniques helped an individual with paralysis learn to control a computer cursor using their brain activity.
Toyota has announced the launch of a robot designed to provide rehabilitation support to individuals with lower limb paralysis
Researchers are using generative adversarial networks to improve brain-computer interfaces for people with disabilities.
We present five upper body exoskeletons that might help restore natural hand or limb movements.
Exoskeleton-assisted rehabilitation can be beneficial in treating stroke survivors.
Researchers have developed a "speech neuroprosthesis" that has enabled a man with severe paralysis to communicate in sentences.
An ultra-thin, inflatable device that uses a combination of soft robotic fabrication techniques and microfluidics can be used to treat the most severe forms of pain without the need for invasive surgery.
Scientists have used an implanted sensor to record the brain signals associated with handwriting, and used those signals to create text on a computer in real time.
BrainGate researchers demonstrated the first human use of a wireless transmitter capable of delivering high-bandwidth neural signals.
Two ALS patients, implanted with a brain-computer interface via the jugular vein and without the need for open brain surgery, successfully controlled their personal computer through direct thought.
Linking the human brain to a computer is usually only seen in science fiction, but now scientists have harnessed the power of 3D printing to bring the technology one step closer to reality.
Researchers have developed a revolutionary cortical vision device that could one day help restore vision to the blind.
Research study in stroke survivors with chronic hemiparesis shows soft exosuit technology to bring immediate improvements in walking speed and endurance tests.
Machine learning will drastically improve brain-computer interfaces and their ability to remain stabilized during use, greatly reducing or potentially eliminating the need to recalibrate these devices.
Researchers have been investigating whether artificial intelligence might be used to steer a catheter automatically and reliably to a blocked blood vessel.
The iStride device is strapped over the shoe of the good leg and generates a backwards motion, exaggerating the existing step, making it harder to walk while wearing the shoe.
A comfortable brace incorporates both sensors and actuators to restore roughly 70% of the active range of motion.
Researchers at the University of Stuttgart have built an exoskeleton with which the gripping ability of a paralyzed hand can be restored.
Three patients with chronic paraplegia were able to walk over ground thanks to precise electrical stimulation of their spinal cords via a wireless implant.
Robotic approach assists with a three-part, two-day complex procedure for rare tumor removal.